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Automatic identification of motor states in people with Parkinson's disease
Machine learning accuracies for Parkinson’s data
Classification accuracies of alternative machine learning algorithms to categorize tremor severity ratings from sensor data. Accuracies are based on ability to reproduce clinicans’ ratings using 10-fold cross validation. Results are averaged over 10 participants.
Credits: Washington State University Smart Home IGERT Program
